| {"henryscheible--stereoset_all": {"description": "Stereoset is a dataset that measures stereotype bias in language models. Stereoset consists of 17,000 sentences that\nmeasures model preferences across gender, race, religion, and profession.\n", "citation": "@article{nadeem2020Stereoset,\n title={Stereoset: Measuring stereotypical bias in pretrained language models},\n author={Nadeem, Moin and Bethke, Anna and Reddy, Siva},\n journal={arXiv preprint arXiv:2004.09456},\n year={2020}\n}\n", "homepage": "https://Stereoset.mit.edu/", "license": "CC BY-SA 4.0", "features": {"label": {"dtype": "int64", "id": null, "_type": "Value"}, "input_ids": {"feature": {"dtype": "int32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "token_type_ids": {"feature": {"dtype": "int8", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "attention_mask": {"feature": {"dtype": "int8", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "stereoset", "config_name": "intersentence", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1137795.832312765, "num_examples": 4458, "dataset_name": "stereoset_all"}, "eval": {"name": "eval", "num_bytes": 487736.16768723505, "num_examples": 1911, "dataset_name": "stereoset_all"}}, "download_checksums": null, "download_size": 338393, "post_processing_size": null, "dataset_size": 1625532.0, "size_in_bytes": 1963925.0}} |